• Guide, coach, and develop direct reports to build a high-performing T&A team. • Foster a positive team culture across international borders in a remote, asynchronous environment that encourages excellence and innovation. • Lead performance management by overseeing bi-annual evaluations and aligning individual and team goals with business objectives in our high-performance culture. • Drive recruitment, training, mentoring, and supervision of the regional team to support their professional growth. • Serve as a subject matter expert and the final escalation point on all high-risk Time & Attendance related topics, including complex wage-hour disputes, policy interpretation, and potential disciplinary matters related to timekeeping compliance. • Partner across domains—including Operations, Product, Engineering, Legal, and Employee Relations (ER)—to enhance T&A processes, workflows, and standard operating procedures (SOPs). • Improve & optimize the Lifecycle T&A team's processes, existing workflows and tools, including identifying opportunities for automation to improve quality, efficiency and drive scale. • Ensure efficient, compliant delivery of Time & Attendance services while meeting KPIs and SLAs. • Safely manage and maintain employee data and confidential information, and advise on best practices to handle sensitive T&A records and investigations with discretion. • Resolve escalated T&A issues through detailed analysis, including advising on or conducting internal investigations into serious attendance or timekeeping discrepancies, and implementing improvements that drive compliance and business growth. • Champion the responsible adoption of AI-assisted tools within the T&A team — identifying opportunities, running pilots, establishing guardrails, and scaling what works. Ensure team members are equipped and confident to use AI tools within Remote's data handling and compliance guidelines.

• People & Team Leadership: Guide, coach, and develop direct reports to build a high-performing T&A team. • Culture: Foster a positive team culture across international borders in a remote, asynchronous environment that encourages excellence and innovation. • Performance Management: Lead performance management by overseeing bi-annual evaluations and aligning individual and team goals with business objectives in our high-performance culture. • Team Growth: Drive recruitment, training, mentoring, and supervision of the regional team to support their professional growth. • Complex Case Resolution (ER Scope): Serve as a subject matter expert and the final escalation point on all high-risk Time & Attendance related topics, including complex wage-hour disputes, policy interpretation, and potential disciplinary matters related to timekeeping compliance. • Cross-Functional Partnership: Partner across domains—including Operations, Product, Engineering, Legal, and Employee Relations (ER)—to enhance T&A processes, workflows, and standard operating procedures (SOPs). • Process Optimization: Improve & optimize the Lifecycle T&A team's processes, existing workflows and tools, including identifying opportunities for automation to improve quality, efficiency and drive scale. • Service Delivery: Ensure efficient, compliant delivery of Time & Attendance services while meeting KPIs and SLAs. • Risk Mitigation: Safely manage and maintain employee data and confidential information, and advise on best practices to handle sensitive T&A records and investigations with discretion. • Strategic Resolution: Resolve escalated T&A issues through detailed analysis, including advising on or conducting internal investigations into serious attendance or timekeeping discrepancies, and implementing improvements that drive compliance and business growth. • AI Enablement: Champion the responsible adoption of AI-assisted tools within the T&A team — identifying opportunities, running pilots, establishing guardrails, and scaling what works. Ensure team members are equipped and confident to use AI tools within Remote's data handling and compliance guidelines.

• own the planning, implementation, and service delivery for the Lifecycle Time & Attendance team. • navigate and advise on the intricate paths of global employment with unmatched speed, expertise, and precision. • influence the ability to sustain and extend compliance coverage, continuously enhance customer journeys, and significantly increase operational capacity. • guide, coach, and develop direct reports to build a high-performing T&A team. • foster a positive team culture across international borders in a remote, asynchronous environment that encourages excellence and innovation. • lead performance management by overseeing bi-annual evaluations and aligning individual and team goals with business objectives. • drive recruitment, training, mentoring, and supervision of the regional team to support their professional growth. • serve as a subject matter expert and the final escalation point on all high-risk Time & Attendance related topics. • partner across domains—including Operations, Product, Engineering, Legal, and Employee Relations—to enhance T&A processes, workflows, and standard operating procedures (SOPs). • improve & optimize the Lifecycle T&A team's processes, existing workflows and tools, including identifying opportunities for automation. • ensure efficient, compliant delivery of Time & Attendance services while meeting KPIs and SLAs. • advise on best practices to handle sensitive T&A records and investigations with discretion. • resolve escalated T&A issues through detailed analysis, including advising on or conducting internal investigations into serious attendance or timekeeping discrepancies. • champion the responsible adoption of AI-assisted tools within the T&A team.

Role Description Lead and mentor a specialized team of data scientists to build advanced AI solutions that directly improve patient safety and clinical quality. - Oversee the technical development of predictive models and Generative AI products, ensuring every tool developed is fair, unbiased, and clinically useful. - Bridge the gap between complex data science and bedside care by translating technical breakthroughs into clear, actionable insights for clinical leaders and stakeholders. - Partner with MLOps to streamline the transition of AI models from development into production and real-world clinical use, ensuring they remain reliable and secure over time. Qualifications - High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required. - 3 years of leadership or management experience preferred. - Master’s degree or PhD in a STEM field (such as Data Science or Health Informatics) preferred. - At least five years of industry experience, including direct experience managing or leading teams within a professional data science environment. - Significant conceptual knowledge of modern AI frameworks and cloud platforms (specifically Google Cloud and Vertex AI). Requirements - Education: High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required. - 3 years of leadership or management experience preferred. Benefits - Paid time off (PTO) - Various health insurance options & wellness plans - Retirement benefits including employer match plans - Long-term & short-term disability - Employee assistance programs (EAP) - Parental leave & adoption assistance - Tuition reimbursement - Ways to give back to your community